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Qualcomm® AI Hub Models
Person-Foot-Detection

Profile Job Results

Jobs
jpr2kzzv5
Results Ready
Name
foot_track_net
Target Device
  • QCS8250 (Proxy)
  • Android 12
  • Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 480, 640, 3]
Completion Time
9/27/2025, 10:03:10 PM
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 11 (RP1A.200720.012)
  • AI Hub: aihub-2025.09.23.1
Estimated Inference Time
27.6 ms
Estimated Peak Memory Usage
1 ‑ 13 MB
Compute Units
NPU
141
StageTimeMemory
First App Load
464 ms1‑12 MB
Subsequent App Load
266 ms0‑13 MB
Inference
27.6 ms1‑13 MB
TensorFlow LiteValue
number_of_threads4
NNAPI DelegateValue
accelerator_name"qti-dsp"
execution_preferencekSustainedSpeed
allow_fp16true

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